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Project description
close_enough
A cursed Python decorator that generates function implementations using LLMs.
Installation
uv add close_enough
Usage
import close_enough
@close_enough
def calculate_fibonacci(n: int) -> int:
"""Calculate the nth Fibonacci number."""
...
result = calculate_fibonacci(10) # 55
The decorator generates a function implementation based on the signature and docstring. The implementation is generated from a LLM's output lazily on first call and cached for subsequent calls.
Do not use in production code.
Configuration
The default model is github_copilot/gpt-4. To use a different model:
import close_enough
close_enough.MODEL_NAME = "your-model-name"
License
MIT
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